Creating Constantly Improving Datasets for Ethical AI Training: A Focus on Spawning’s Goals
![Gettyimages 1303427084](https://techgroundnews.com/wp-content/uploads/sites/4/2024/06/GettyImages-1303427084-768x472.jpg)
Jordan Meyer and Mathew Dryhurst founded Spawning AI to create tools that help artists exert more control over how their works are used online.
Meyer claims that, despite the fact that it’s substantially smaller than some other generative AI training data sets out there, Source.Plus’ data set is already “high-quality” enough to train a state-of-the-art image-generating model.
Generative AI models “learn” to produce their outputs (e.g., photorealistic art) by training on a vast quantity of relevant data — images, in that case.
Image Credits: Spawning“Source.Plus isn’t just a repository for training data; it’s an enrichment platform with tools to support the training pipeline,” he continued.
And, Meyer says, Spawning might build its own generative AI models using data from the Source.Plus datasets.